US 2026/0070070 A1Published application

Hypergravity centrifuge device and temperature control method therefor

AssigneesZhejiang University, The Architectural Design & Research Institute of Zhejiang University Co., Ltd.

InventorsYi Yang, Yinan Guo, De Ding, Jianqun Jiang, Weian Lin, Junxiang Yu, Shuai Yu, Yu Zhao

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Abstract

The present disclosure relates to a hypergravity centrifuge device and a temperature control method therefor. The temperature control method for a hypergravity centrifuge device based on steady-state temperature prediction of the present disclosure includes: step S100, providing a hypergravity centrifuge device; step S200, carrying out temperature sampling at designated detection points in the working chamber, and obtaining corresponding temperature sampling vector; step S200, carrying out temperature sampling at designated detection points in the working chamber, and obtaining corresponding temperature sampling vector; step S400, comparing the predicted steady-state temperature with a control temperature and changing a temperature of a cooling medium in the cooling system accordingly; step S500, cycling steps S200-S400 according to a predetermined cycle to make the predicted steady-state temperature tend towards the control temperature.

A temperature control method for a hypergravity centrifuge device based on steady-state temperature prediction, comprising:

step S100, providing a hypergravity centrifuge device which is installed in a working chamber that can provide a vacuum environment and has a peripheral wall arranged around a rotational axis of the hypergravity centrifuge device and a cooling system acting at least on the peripheral wall;
step S200, carrying out temperature sampling at designated detection points in the working chamber, and obtaining corresponding temperature sampling vector [T(t1), T(t2), . . . , T(tm)]T,
where:
m is sampling times,
tm is time corresponding to the mth sampling,
T(tm) is a temperature obtained from the mth sampling;
step S300, obtaining a predicted steady-state temperature based on the temperature sampling vector, wherein the predicted steady-state temperature is T(t)=A0+[A1, A2, . . . , An][e−b1*t, e−b2*t, . . . , e−bn*t]T, where:
A0 is an initial temperature,
n is a number of specified detection points,
b1-bn are thermal eigenvalues of a thermal impedance matrix, the thermal impedance matrix is obtained based on the temperature sampling vector, [A1, A2, . . . , An] is an eigenvector matrix of the thermal impedance matrix,
t is time;
step S400, comparing the predicted steady-state temperature with a control temperature, and changing a temperature of a cooling medium in the cooling system accordingly;
step S500, cycling steps S200-S400 according to a predetermined cycle to make the predicted steady-state temperature tend towards the control temperature;
wherein, in step S300, the thermal impedance matrix is calculated as [H]n×n using the following formula:
[Z]=[H]n×n[Z], wherein [Z] and [Z1] are two temperature sampling sequences, and [Z] and [Z1] are respectively:
[
Z
]
=
[
T
⁡
(
t
⁢
1
)
-
T
⁡
(
t
⁢
1
+
τ
)
,
T
⁡
(
t
⁢
2
)
-
T
⁡
(
t
⁢
2
+
τ
)
,
…
,
T
⁡
(
tm
)
-
T
⁡
(
tm
+
τ
)
]
⁢
n
×
m
,
[
Z
⁢
1
]
=
[
T
⁡
(
t
⁢
1
+
τ
)
-
T
⁡
(
t
⁢
1
+
2
⁢
τ
)
,
T
⁡
(
t
⁢
2
+
τ
)
-
T
⁡
(
t
⁢
2
+
2
⁢
τ
)
,
…
,
T
⁡
(
tm
+
τ
)
-
T
⁡
(
tm
+
2
⁢
τ
)
]
⁢
n
×
m
,
τ is a delay time, τ=kΔt, k is a positive integer;
the thermal impedance matrix has an eigenvalue matrix:
[
⁠
e
-
b
⁢
1
*
τ
0
⁢
…
0
⋮
e
-
b
⁢
2
*
τ
⁢
⋱
⋮
0
…
e
-
b
⁢
n
*
τ
]
;
and based on the eigenvalue matrix, the b1-bn are further obtained.

188 more elements

Abstract

Claims18